Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-label-classification
Multilinguality:
multilingual
Size Categories:
1K<n<10K
Language Creators:
found
Source Datasets:
original
Tags:
License:
joelniklaus
commited on
Commit
•
4b0df17
1
Parent(s):
ae4a907
added aggregate column for all events
Browse files- README.md +2 -2
- convert_to_hf_dataset.py +13 -0
- test.jsonl +2 -2
- train.jsonl +2 -2
- validation.jsonl +2 -2
README.md
CHANGED
@@ -88,7 +88,7 @@ The jsonl files have the following basic columns:
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- `country`: The country of the sentence
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- `text`: Sentence that has been annotated
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The documents have been annotated with 8 labels, each label representing a specific measurement against COVID-19. Each label is represented by one field in the jsonl file. The labels, i.e. the specific measure classes, are:
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- `event1`: State of Emergency
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- `event2`: Restrictions of fundamental rights and civil liberties
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- `event3`: Restrictions of daily liberties
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- `event6`: Police mobilization
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- `event7`: Army mobilization
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- `event8`: Government oversight
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### Data Splits
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- `country`: The country of the sentence
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- `text`: Sentence that has been annotated
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+
The documents have been annotated with 8 labels, each label representing a specific measurement against COVID-19. Each label is represented by one boolean field in the jsonl file. The labels, i.e. the specific measure classes, are:
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- `event1`: State of Emergency
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- `event2`: Restrictions of fundamental rights and civil liberties
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- `event3`: Restrictions of daily liberties
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- `event6`: Police mobilization
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- `event7`: Army mobilization
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- `event8`: Government oversight
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- `all_events`: an aggregate column containing all applicable events combined
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### Data Splits
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convert_to_hf_dataset.py
CHANGED
@@ -48,6 +48,19 @@ validation = validation[column_list]
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test = test[column_list]
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# save splits
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def save_splits_to_jsonl(config_name):
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# save to jsonl files for huggingface
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test = test[column_list]
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def aggregate_events(row):
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all_events = []
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for label_col in label_cols:
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if row[label_col]:
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all_events.append(label_col)
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return all_events
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train["all_events"] = train.apply(aggregate_events, axis=1)
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validation["all_events"] = validation.apply(aggregate_events, axis=1)
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test["all_events"] = test.apply(aggregate_events, axis=1)
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# save splits
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def save_splits_to_jsonl(config_name):
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# save to jsonl files for huggingface
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test.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:1792a5b0103cbdd2a1d973cdb5ca5a881ec6505c2a9d7a8625b412bfb67ad69a
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size 176847
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train.jsonl
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:521b6027d21a332af2b60e30055aba69e0dff9e6dc740f4c89e81801fa89e77b
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size 1430137
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validation.jsonl
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1fbfcfb77ba513edc42dd48b64ec6a42741e38fc99130da3179127e2bd7f394
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size 179940
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